Image Reconstruction for Virtual 3d

2. The method of claim 1 wherein the vertex values comprise a regular grid of vertices forming pairs of adjacent triangles that form, pair-wise, respective square quads or quad patches.

3. The method of claim 1 further comprising obtaining either a native disparity map or an expanded disparity map for the second physical camera having a physical view of the scene.

5. The method of claim 1 wherein the selected projection function utilizes as an input any of virtual camera position, display portal size, calibration information relating to at least one of the physical cameras, or any combination thereof.

6. The method of claim 1 wherein the selected projection function comprises a field of view calculation.

7. The method of claim 6 wherein a depth value, representing a distance between a respective user and a display device associated with the user, is calculated and utilized in the field of view calculation, to enable a selected virtual camera perspective to be accurately displayed on the user's display device.

8. The method of claim 1 wherein the at least first and second physical cameras each having a respective physical view of the scene are remote from a digital processing resource, and further comprising transmitting, to the digital processing resource, image data representative of camera images of the scene captured by the at least first and second physical cameras.

9. The method of claim 1 further comprising displaying the synthetic image of the scene from the perspective of the virtual camera having a selected virtual camera position, to a human user, on a display device remote from the scene.

11. The method of claim 1 wherein obtaining a native disparity map for the first physical camera comprises computationally solving the stereo correspondence problem between the at least first and second physical cameras in a shared epipolar plane, using rectified images from the at least first and second physical cameras, and generating disparity values stored in the native disparity map.

12. The method of claim 11 wherein a computational operation for solving the stereo correspondence problem is executed on raw image sensor data.

13. The method of claim 11 wherein a computational operation for solving the stereo correspondence problem is executed on native image buffers with Bayer pattern removed.

14. The method of claim 1 wherein at least one camera captures color images.

15. The method of claim 1 further comprising: capturing images of the scene utilizing more than two cameras.

16. The method of claim 1 further comprising: obtaining calibration data representative of at least one camera's respective configuration and of at least one epipolar plane configuration shared among cameras.